Technical practice
Suggested practice: How would you decide between a Business Rule, client script and UI policy in ServiceNow?
What to coverExplain where each runs, what it can enforce and how JavaScript and the data model affect the choice. Preparation suggestion: describe how you would test the behavior and avoid putting server-side validation only in the UI.
Suggested practice: How would you structure an AI-enabled feature in a scoped ServiceNow application?
What to coverDiscuss what you would build in App Engine Studio and how you would define the feature's data and boundaries. Preparation suggestion: explain how scope and maintainability would influence your design.
Suggested practice: When would you use Flow Designer and IntegrationHub for workflow automation?
What to coverCompare their roles in orchestrating a workflow and connecting it to another system. Preparation suggestion: walk through failure handling, retries and how you would validate the resulting workflow.
Suggested practice: How would you design and troubleshoot a ServiceNow integration?
What to coverCompare REST and SOAP where relevant, and explain when a MID Server or OAuth-based authentication might matter; distinguish SAML's authentication role. Preparation suggestion: trace a failed request from configuration through connectivity, authorization and response handling.
Suggested practice: How would you configure and validate a Now Assist or Virtual Agent feature?
What to coverExplain the intended user task, the configuration choices and how you would check whether responses or conversations help users complete it. Preparation suggestion: include how you would handle an unclear request or an answer the feature cannot support.
Suggested practice: How would you tune AI Search?
What to coverDiscuss relevance, the content being searched and ways to evaluate whether results serve the user's query. Preparation suggestion: describe how you would investigate poor results before changing the configuration.
Suggested practice: How would you apply an agentic pattern to workflow automation or developer assistance?
What to coverDefine the agent's task, available actions and limits on what it may change or execute. Preparation suggestion: address approval or human review, failure recovery and how you would verify the outcome.
Suggested practice: How would you test prompts and evaluators for an LLM-enabled feature?
What to coverExplain how you would assemble representative cases, select evaluation metrics and inspect failures rather than relying on a few convincing outputs. Preparation suggestion: cover repeatability and trade-offs between response quality, latency and risk.
Suggested practice: Where could RAG and vector search help a ServiceNow AI feature?
What to coverExplain retrieval, grounding and the role of orchestration at a basic level, including what happens when relevant material is missing. Preparation suggestion: compare retrieval quality and answer quality when diagnosing an incorrect response.
Suggested practice: What would you check before shipping an AI-enabled ServiceNow feature?
What to coverCover functional testing, secure engineering and Responsible AI considerations alongside quality and compliance. Preparation suggestion: explain how you would validate access to data, review problematic outputs and monitor for issues after release.
Behavioural practice
Suggested practice: Tell me about collaborating with architects and product owners during a sprint.
What to coverUse a real situation/action/result example showing how you clarified a requirement or resolved a design disagreement. Explain your contribution and the effect on the delivered work.
Suggested practice: Tell me about a code review that improved a solution.
What to coverUse a real situation/action/result example, whether you gave or received feedback. Describe the specific quality or security concern, how you discussed it and what changed.
Suggested practice: Tell me about finding a subtle defect before release.
What to coverUse a real situation/action/result example that shows problem-solving and attention to detail. Explain your investigation, the fix or escalation, and how you verified the result.
Suggested practice: Tell me about adapting when a client-focused priority changed.
What to coverUse a real situation/action/result example to show how you reassessed scope and communicated trade-offs. Be clear about what you did and the outcome, without implying that every constraint was resolved.
Suggested practice: Tell me about learning an unfamiliar technology for a delivery task.
What to coverUse a real situation/action/result example showing how you built understanding, sought feedback and applied what you learned. Explain how you checked that the resulting work was reliable.